Easy Apply
Easy Apply
Lead and execute growth strategy to drive adoption among scientists in academia and industry. Collaborate with science teams and partners to create demos, run go-to-market campaigns, build community, use data to optimize engagement, and translate market insights into product direction to ensure measurable scientific impact.
About
Edison Scientific focuses on building and commercializing AI agents for science, and shares FutureHouse’s mission to build an AI Scientist - scaling autonomous research, productizing it, and applying it to critical challenges such as drug development.
RoleWe are seeking a growth-focused teammate to drive adoption among scientists in academia, biotech, and pharma- and to identify new user communities at the frontier of AI-accelerated research. This role combines strategic thinking with hands-on execution across product, growth, and partnerships.
The ideal candidate has experience shaping and scaling growth initiatives for technical products, excels at building relationships across scientific and commercial audiences, and can translate complex technology into compelling stories and user experiences. A life sciences background is not required, but curiosity and the ability to quickly learn the language and culture of scientists are essential.
Responsibilities- Define and execute a growth strategy that aligns with Edison Scientific’s mission to accelerate scientific discovery through AI.
- Collaborate with our internal science team and external partners to create compelling demos and narratives that showcase our technology.
- Lead go-to-market efforts- from content and campaigns to events and community engagement- to drive awareness and adoption.
- Use data to understand user behavior, identify growth opportunities, and optimize engagement across our platform.
- Translate market insights into product direction, ensuring our tools deliver measurable impact while maintaining scientific and technical rigor.
- 10+ years of experience in product management, with at least 5+ years in leadership.
- Proven track record of building and scaling products in biotech, life sciences, or computational biology.
- Demonstrated success in growth leadership - driving adoption, market expansion, and customer success.
- Deep understanding of biology, ideally in molecular biology, synthetic biology, cellular biology, computational biology, or adjacent fields.
- Strong leadership skills with experience building, mentoring, and managing teams.
- Excellent communication skills, with the ability to calibrate between technical/scientific experts and business stakeholders.
- Experience working in startup or high-growth environments, balancing strategy and execution.
- Advanced degree in biology, bioengineering, computational biology, Degree in computational biology, drug discovery, machine learning, or a related field strongly preferred (MBA or dual background a plus).
- Collaboration is at the heart of discovery. We work on-site to stay close to the science, move faster as a team, and share the kind of energy that only happens when smart, curious people build together- in a space that we love to be in!
- Location: San Francisco (Dogpatch)
- At Edison Scientific, we know that titles can cover a range of experience levels. Actual base pay will depend on factors such as skills, experience, and scope of responsibility. Compensation ranges may evolve as we continue to grow. In addition to base pay, team members may be eligible for equity, benefits, and other perks.
- Compensation: $175,000+
Top Skills
AI
Computational Biology
Machine Learning
Edison Scientific San Francisco, California, USA Office
San Francisco, California, United States, 94107
Similar Jobs
Cloud • Information Technology • Security • Software • Cybersecurity
Lead global SEO and AEO strategy, manage a team of specialists, improve site performance, and enhance user experience on Zscaler's digital platforms.
Top Skills:
AeoGoogle AnalyticsSeoSeo ToolsUx DesignWeb Performance Software
Cloud • Information Technology • Security • Software • Cybersecurity
Lead modularization of the Zscaler Client Connector into reusable libraries, write maintainable unit-testable C/C++ code, improve scalability and memory safety, implement networking and VPN features, and collaborate across platforms in a hybrid San Jose team.
Top Skills:
C,C++,Windows,Vpn,Networking Protocols
Cloud • Information Technology • Security • Software • Cybersecurity
Develop instructor-led and interactive eLearning, labs, assessments, and PPT decks by translating SME workflows into task-based training. Build and validate hands-on product labs and create engaging, modular course content mapped to learning objectives.
Top Skills:
Articulate,Adobe Storyline,Adobe Rise,Adobe Captivate,Powerpoint,Zscaler,Ai Tools
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
